Managing [email protected] with a linguistic decision making approach

Romina Torres, Hernan Astudillo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In the seminal work about requirements, Zave and Jackson established that if specification models hold the correctness criteria then, they can be used instead of requirements to make decisions (e.g. select an architectural configuration to implement requirements). Unfortunately, during runtime for systems under changing environments, domain assumptions may change and if they are not properly maintained (synchronized) the correctness criteria may becomes not useful to detect when the specification model is not anymore a valid representation of requirements. Thus, requirements may be violated but not properly detected. In order to avoid specification models become obsolete during runtime, we already proposed reify requirements into abstract specification models. In this paper we extend the correctness criteria to [email protected] and we propose specifically the linguistic decision making (LDM) models to represent these abstract models. We present an illustrative example of how our approach works. The main contribution of this approach is obtained during runtime, when the false negative rate error on determining when requirements are violated is reduced.

Original languageEnglish
Title of host publicationCIBSE2014
Subtitle of host publicationProceedings of the 17th Ibero-American Conference Software Engineering
PublisherUniversidad de la Frontera
Number of pages14
ISBN (Print)9789562362474
Publication statusPublished - 2014
Event17th Ibero-American Conference on Software Engineering, CIBSE 2014 - Pucon, Chile
Duration: 23 Apr 201425 Apr 2014

Publication series

NameCIBSE 2014: Proceedings of the 17th Ibero-American Conference Software Engineering


Other17th Ibero-American Conference on Software Engineering, CIBSE 2014


ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software


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